Skip to main content

Multiple sclerosis and fecundity: a study of anti-mullerian hormone level in Egyptian patients

Abstract

Background

Multiple sclerosis (MS) is a neurological disease that affects people aged 20–40 years on average. It classically affects young females of reproductive age. The prevalence of MS for females to males has increased markedly in recent years (from 2.3 to 3.5:1). Females with MS seem to use infertility treatments more frequently and fecundity could be affected years before making an MS diagnosis. The anti-Müllerian hormone (AMH) level is the strongest marker of ovarian reserve. Although recent studies suggest that patients with MS have lower ovarian reserve, there is no definite data to conclude that females with MS suffer from impaired fertility. This study aimed to investigate fertility and fecundity among female patients with MS by assessing AMH level. This study included 100 patients with MS and 60 healthy controls (HC). Both groups were assessed for AMH levels, activities of daily living (ADL) were assessed using the Kurtzke Expanded Disability Status Scale (EDSS) and the reproductive history of both groups was assessed via a self-administered questionnaire.

Results

AMH levels among the HCs (0.34–2 ng/ml with a mean of 1.03 ± 0.41 ng/ml) were significantly higher than in patients with MS (0.15–2 ng/ml with a mean of 0.68 ± 0.31 ng/ml). The use of disease-modifying therapies (DMT) was the only predictor of below normal AMH among patients, but there was no significant correlation with age, duration of disease or type of DMT.

Conclusions

Levels of AMH were significantly lower in MS patients than in healthy controls.

Introduction

Multiple sclerosis (MS) is an autoimmune inflammatory disease of the central nervous system (CNS), most cases receive a diagnosis of MS between 20 and 40 years old, females are at more risk with a female to male ratio of 3:1 [1].

The data about fertility in females with MS is scarce. Women with MS often use different treatments for infertility, and fecundity can be affected years before an MS diagnosis [2]. Still, the reasons behind infertility among females with MS cannot be clearly determined, it may be due to disease-related pathology, drugs effect on endocrine and ovary function, or it may be due to MS patients avoiding getting pregnant [3].

Deterioration of ovarian reserve may affect fecundity [4]. Diminished ovarian reserve refers to females whose response to ovarian stimulation is reduced compared with females of same age [5]. Anti-Müllerian hormone (AMH) level is considered the most reliable marker of ovarian reserve [6].

The aim of this study was to assess ovarian reserve and fertility in MS patients by assessing the AMH serum level and comparing it to the serum AMH level of age-matched healthy controls (HC), and to study the relationship between AMH level on one hand and the use of different disease-modifying therapies (DMTs) and different aspects of MS disorder on the other hand.

Methods

This was a cross-sectional analytical study conducted on 100 reproductive-aged women (18–40 years) with any type of MS fulfilling revised McDonald criteria 2017 [7] and 60 healthy female controls of the same age. Participants were recruited from patients admitted to the Neurology department and/or patients attending Kasr Al Ainy MS Clinic during the period from January 2022 to July 2022. Females who were currently pregnant or lactating, females with chronic liver or kidney disease, females with abnormal thyroid function or autoimmune diseases other than MS, females on hormonal stimulation, fertility treatments or steroids, all were excluded from inclusion in this study.

The protocol for this study approved by the institutional review board of faculty of medicine—Cairo university (MD-104-2021) and a written informed consent was collected from all study subjects.

All participants underwent full clinical assessment including detailed history and neurological examination, Expanded Disability Status Scale (EDSS), history of relapses and DMTs.

All participants completed a questionnaire about their gynecological and obstetrical history, including age of menarche, menstrual cycles, dysmenorrhea, history of polycystic ovary (PCO), pregnancies and their outcomes, contraception, history of infertility and infertility treatment if needed, desire for a child and fear of being infertile.

Blood samples for AMH were collected. AMH measurement was done using an enzymatically amplified two-site immunoassay (Human Anti-Mullerian hormone, AMH ELISA Kit—Sunlong Biotech Co. Ltd.) with assay range: 0.5–25 ng/ml, sensitivity: 0.1 ng/ml, standard: 27 ng/ml. Values less than 0.4 ng/ml were considered to reflect a markedly diminished ovarian reserve. This AMH cut-off value was considered a good marker of poor response to ovarian hyperstimulation [8].

Data were analyzed by statistical package for social sciences (SPSS) version 28 (IBM Corp.). An exact test was used when expected frequency was less than 5 [9]. Logistic regression was used to identify independent predictors of AMH levels below 0.8 [10]. P-values less than 0.05 were considered statistically significant.

Results

The mean age for the patients’ group was 28.8 ± 6.44 years and 27.63 ± 3.02 years for the HCs group (p-value 0.115). 57% of the patients’ group were married, while only 11.7% of the HCs were married (p < 0.001). Five patients were divorced, and 2 patients were widowed at time of reporting, however, these patients were sexually active at some point during their disease course making the total number of sexually active patients 64 patients (57 married, 5 divorced and 2 widowed). The mean body mass index (BMI) for the patients’ group was 25.9 ± 3.78 and 25.94 ± 2.32 for the HCs group (p-value 0.949).

As regards the type of MS; 82 patients had relapsing remitting MS (RRMS), 10 patients had secondary progressive MS (SPMS), 3 patients had primary progressive MS (PPMS) and 5 patients had clinically isolated syndromes (CIS). The mean age of onset was 24.29 ± 6.31 years with a mean disease duration of 55.3 ± 47.07 months. The mean EDSS was 2.18 ± 1.78. 34% of patients were on interferon beta, 22% were on fingolimod, 15% were on di-methyl fumarate, 13% were on other DMTs and 16% were on no DMT.

The mean age of menarche was 13.13 ± 1.28 years for the patients’ group and 12.77 ± 0.81 years for the HCs (p-value 0.029). The mean AMH level among patients’ group (0.68 ± 0.31 ng/ml) was significantly lower than HCs (1.03 ± 0.41 ng/ml) ( < 0.001). Table 1 shows the AMH status and serum level stratification among patients and HCs. Table 2 summarizes the reproductive and gynecological history of patients and healthy controls.

Table 1 AMH status among patients and healthy controls
Table 2 Reproductive and gynecological history of patients and healthy controls

There was no statistically significant difference between patients receiving different types DMTs as regards the level of AMH (p-value 0.437). However, when comparing RRMS patients receiving DMTs to patients on no DMT there was a statistically significant difference as regards AMH serum level, where RRMS patients on DMT were more likely to have very low (< 0.4 ng/ml) and low (< 0.8 ng/ml) AMH serum level than patients on no DMT (p-value 0.012) as shown in Table 3.

Table 3 Effect of DMT on AMH Level

The use of DMT was the only statistically significant predictor of low AMH level (< 0.8 ng/ml) by using logistic regression analysis (p-value 0.013) as shown in Table 4, and it was highly statistically significant by using forward conditional regression (p = 0.008, OR: 4.545, 95% CI [1.477, 13.985]).

Table 4 Predictors of AMH level below 0.8 ng/ml using logistic regression analysis

Discussion

Due to the increasing incidence of MS among females, and the increasing number of treatments, the issue of fertility among females with MS has become extremely important [11, 12].

Plasma AMH level is the most reliable marker for ovarian aging in females. AMH plasma level starts to drop as soon as ovarian aging start. On the other hand, estrogen and progesterone levels may drop late in the perimenopausal or even the postmenopausal phase. AMH levels can predict the age of menopause as they strongly correlate with oocyte and leukocyte telomere lengths and antral follicle counts [13].

An important advantage of relying on AMH as a marker of ovarian reserve is that sample collection can be carried out anytime during the menstrual cycle because AMH level is considered rather stable across the menstrual cycle, unlike follicular stimulating hormone (FSH), estrogen and progesterone levels that fluctuate during different phases of menstrual cycle [14].

This study was designed as a cross-sectional analytical study investigating the reproductive history and AMH serum level of a group of female MS patients and comparing them to a group of HCs of the same age, aiming to answer the question: “Does MS affect fertility of women with MS?”.

In this study, AMH level among MS patients was significantly lower than among HCs (p < 0.001). These results are consistent with those of Thöne and colleagues who reported that AMH levels were lower in women with MS of reproductive age proposing an independent role for the disease in fertility [3].

On the other hand, several studies found that AMH levels did not vary between MS patients and healthy controls [6, 14,15,16]. Henes and colleagues stated that although ovarian reserve can be diminished in autoimmune disorders, it is unlikely that infertility due to diminished ovarian reserve is secondary to autoimmune disease pathology [17].

In this study, the level of AMH was not significantly correlated to disability or disease severity as measured by EDSS (p-value 0.56). Such findings agree with those of Thöne and colleagues who did not find a significant difference in EDSS between patients with AMH levels lower than 0.8 ng/ml and those with normal AMH levels [18].

Sepulveda and colleagues found that higher disease activity was associated with lower AMH levels [6]. Also, Graves and colleagues found that low AMH concentrations were strongly associated with increased disability in more than 400 women with MS. They concluded that their results implicated reproductive aging as a main factor leading disability progression in MS female patients, and perimenopause might be a risk factor for conversion to progressive disease [19].

In our cohort, there was no statistically significant correlation between low serum AMH (below 0.8 ng/ml) and disease duration (p-value 0.16), age of menarche (p-value 0.11), BMI (p-value 0.24), age (p-value,0.26), smoking (p-value 1.0), use of contraception (p-value 0.86) and dysmenorrhea (p-value 0.58).

Different cohorts yielded different results as regards factors affecting AMH level. Sadeghpour and colleagues found a significant negative correlation between disease duration and serum AMH levels [15]. Other multicenter studies looking into the relation between BMI and AMH levels of patients with PCOs, revealed that the higher the BMI the lower the AMH regardless patients’ age, race, site and smoking status [20, 21].

There is scarce information on the influence of DMT on fertility in humans [22]. In the current study, it was found that the use of DMT was the only predictor of below-normal AMH serum level (< 0.8 ng/ml) among MS patients (p-value 0.013) by using logistic regression analysis, and it was highly statistically signification by using forward conditional regression (p-value 0.008).

In their cohort, Thöne and colleagues found that having MS and being currently not treated with any DMT were the only significant predictors for very low AMH levels. They concluded that the use of DMT to modulate disease activity in MS indicates that the benefits of suppressing disease activity in MS outweigh the potential negative effects of DMT on ovarian reserve [3].

The relationship between MS and infertility is not fully understood, but a link seems to exist between progression, severity of disease and infertility [16].

This study showed that 72% of patients had fears regarding their fertility and MS’s effect on fecundity, and 21% of patients decided to have a second child after being diagnosed with MS. Lavorgna and colleagues conducted an online survey in 2019, which showed that 33 out of 395 participants never wanted to become a parent because of MS “anti-parenthood after diagnosis” while 362 were in favor of parenthood. The frequency of a second child in patients with MS after diagnosis was 38% compared to 67% in people without MS diagnosis [23].

Educating patients is of extreme importance in this aspect. Patients should be aware of the reduced disease activity during pregnancy and the fact that certain classes of DMTs can be used safely during pregnancy and lactation. Most MS patients fearing pregnancy are unaware of these facts and accordingly may attempt to avoid or delay pregnancy. Also, patients should be educated about the importance of planning pregnancy in advance and coordinating treatment plans with the physician following the case.

There are no studies directly assessing pregnancy success rates in MS [24, 25]. However, some studies showed that females with MS may have fewer children as compared to general population [23]. In the current study, it was found that 54 out of 64 sexually active patients (84%) got pregnant and only one patient complained from 1ry infertility.

The effect of MS on fecundity on MS could be due to the effect of disease on fertility, the effect of symptoms such as sexual dysfunction, bladder dysfunction and fatigue on trying to get pregnant [26].

Several limitations to be taken into consideration. First, the AMH level needs to be empowered with antral follicle count to surely help in the diagnosis of ovarian aging. Second, the patients’ sample was predominantly RRMS patients, with other MS subtypes under-represented with insufficient numbers to draw statistically significant conclusions subtypes other than RRMS. Third, both study groups were mismatched as regards marriage status. Lastly, we did not address the relation of DMT to fertility in women with MS—specially RRMS—in detail, but we notice the correlation and we aim to emphasis more and more on this topic in further research. Despite these limitations, to our knowledge, this is the first study to address this issue in Egypt.

Conclusions

Multiple sclerosis may affect female fertility and fecundity by affecting ovarian aging and decreasing AMH levels.

Availability of data and materials

The data sets generated and/or analyzed during the current study are not publicly available due to the current Egyptian clinical research legislation but are available from the corresponding author on reasonable request and after institutional approval.

Abbreviations

MS:

Multiple sclerosis

AMH:

Anti-müllerian hormone

HC:

Healthy controls

DMT:

Disease-modifying therapies

CNS:

Central nervous system

PCO:

Polycystic ovary

C:

Degree Celsius

g:

Relative centrifugal force

ELISA:

Enzyme-linked immunosorbent assay

OR:

Odds ratio

CI:

Confidence interval

FSH:

Follicular stimulating hormone

References

  1. Greer JM, McCombe PA. Role of gender in multiple sclerosis: clinical effects and potential molecular mechanisms. J Neuroimmunol. 2011;234(1–2):7–18. https://doi.org/10.1016/j.jneuroim.2011.03.003.

    Article  CAS  PubMed  Google Scholar 

  2. Hedström AK, Hillert J, Olsson T, Alfredsson L. Reverse causality behind the association between reproductive history and MS. Mult Scler. 2014;20(4):406–11. https://doi.org/10.1177/1352458513498126.

    Article  PubMed  Google Scholar 

  3. Thöne J, Kollar S, Nousome D, Ellrichmann G, Kleiter I, Gold R, et al. Serum anti-Müllerian hormone levels in reproductive-age women with relapsing-remitting multiple sclerosis. Mult Scler. 2015;21(1):41–7. https://doi.org/10.1177/1352458514540843.

    Article  CAS  PubMed  Google Scholar 

  4. Hellwig K, Correale J. Artificial reproductive techniques in multiple sclerosis. Clin Immunol. 2013;149(2):219–24. https://doi.org/10.1016/j.clim.2013.02.001.

    Article  CAS  PubMed  Google Scholar 

  5. Practice Committee of the American Society for Reproductive Medicine. Testing and interpreting measures of ovarian reserve: a committee opinion. Fertil Steril. 2015;103(3):e9–17. https://doi.org/10.1016/j.fertnstert.2014.12.093.

    Article  Google Scholar 

  6. Sepúlveda M, Ros C, Martínez-Lapiscina EH, Solà-Valls N, Hervàs M, Llufriu S, et al. Pituitary-ovary axis and ovarian reserve in fertile women with multiple sclerosis: a pilot study. Mult Scler. 2016;22(4):564–8. https://doi.org/10.1177/1352458515602339.

    Article  CAS  PubMed  Google Scholar 

  7. Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162–73. https://doi.org/10.1016/S1474-4422(17)30470-2.

    Article  PubMed  Google Scholar 

  8. Gnoth C, Schuring AN, Friol K, Tigges J, Mallmann P, Godehardt E. Relevance of anti-Mullerian hormone measurement in a routine IVF program. Hum Reprod. 2008;23(6):1359–65. https://doi.org/10.1093/humrep/den108.

    Article  CAS  PubMed  Google Scholar 

  9. Chan YH. Biostatistics 102: quantitative data–parametric and non-parametric tests. Singapore Med J. 2003;44(8):391–6.

    CAS  PubMed  Google Scholar 

  10. Chan YH. Biostatistics 202: logistic regression analysis. Singapore Med J. 2004;45(4):149–53.

    CAS  PubMed  Google Scholar 

  11. Altintas A, Najar B, Gozubatik-Celik G, Menku SF. Pregnancy data in a Turkish multiple sclerosis population. Eur Neurol. 2015;74(5–6):296–302. https://doi.org/10.1159/000441450.

    Article  PubMed  Google Scholar 

  12. Nguyen AL, Havrdova EK, Horakova D, Izquierdo G, Kalincik T, van der Walt A, et al. Incidence of pregnancy and disease-modifying therapy exposure trends in women with multiple sclerosis: a contemporary cohort study. Mult Scler Relat Disord. 2019;28:235–43. https://doi.org/10.1016/j.msard.2019.01.003.

    Article  PubMed  Google Scholar 

  13. Depmann M, Broer SL, van der Schouw YT, Tehrani FR, Eijkemans MJ, Mol BW, et al. Can we predict age at natural menopause using ovarian reserve tests or mother’s age at menopause? A systematic literature review. Menopause. 2016;23(2):224–32. https://doi.org/10.1097/GME.0000000000000509.

    Article  PubMed  Google Scholar 

  14. Graves JS, Henry RG, Cree BAC, Lambert-Messerlian G, Greenblatt RM, Waubant E, et al. Ovarian aging is associated with gray matter volume and disability in women with MS. Neurology. 2018;90(3):e254–60. https://doi.org/10.1212/WNL.0000000000004843.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Sadeghpour N, Mirmosayyeb O, Bjørklund G, Shaygannejad V. Is fertility affected in women of childbearing age with multiple sclerosis or neuromyelitis optica spectrum disorder? J Mol Neurosci. 2020;70(11):1829–35. https://doi.org/10.1007/s12031-020-01576-x.

    Article  CAS  PubMed  Google Scholar 

  16. Lamaita R, Melo C, Laranjeira C, Barquero P, Gomes J, Silva-Filho A. Multiple sclerosis in pregnancy and its role in female fertility: a systematic review. JBRA Assist Reprod. 2021;25(3):493–9. https://doi.org/10.5935/1518-0557.20210022.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Henes M, Wolff MV, Henes J. Severe autoimmune diseases. In: Grynberg M, Patrizio P, editors. Female and male fertility preservation. Cham: Springer; 2022. p. 217–23.

    Chapter  Google Scholar 

  18. Thöne J, Lichtenberg S, Stahl A, Pache F, Kleiter I, Ruprecht K, et al. Ovarian reserve in women with neuromyelitis optica spectrum disorder. Front Neurol. 2018;19(9):446. https://doi.org/10.3389/fneur.2018.00446.

    Article  Google Scholar 

  19. Graves JS, Krysko KM, Hua LH, Absinta M, Franklin RJM, Segal BM. Ageing and multiple sclerosis. Lancet Neurol. 2023;22(1):66–77. https://doi.org/10.1016/S1474-4422(22)00184-3.

    Article  PubMed  Google Scholar 

  20. Jaswa EG, Rios JS, Cedars MI, Santoro NF, Pavone MEG, Legro RS, et al. Increased body mass index is associated with a nondilutional reduction in antimüllerian hormone. J Clin Endocrinol Metab. 2020;105(10):3234–42. https://doi.org/10.1210/clinem/dgaa436.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kotlyar AM, Seifer DB. Ethnicity/race and age-specific variations of serum AMH in women-a review. Front Endocrinol (Lausanne). 2021;9(11):593216. https://doi.org/10.3389/fendo.2020.593216.

    Article  Google Scholar 

  22. Tisovic K, Amezcua L. Women’s Health: contemporary management of MS in pregnancy and post-partum. Biomedicines. 2019;7(2):32. https://doi.org/10.3390/biomedicines7020032.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Lavorgna L, Esposito S, Lanzillo R, Sparaco M, Ippolito D, Cocco E, et al. Factors interfering with parenthood decision-making in an Italian sample of people with multiple sclerosis: an exploratory online survey. J Neurol. 2019;266(3):707–16. https://doi.org/10.1007/s00415-019-09193-4.

    Article  CAS  PubMed  Google Scholar 

  24. Cavalla P, Rovei V, Masera S, Vercellino M, Massobrio M, Mutani R, et al. Fertility in patients with multiple sclerosis: current knowledge and future perspectives. Neurol Sci. 2006;27(4):231–9. https://doi.org/10.1007/s10072-006-0676-x.

    Article  CAS  PubMed  Google Scholar 

  25. McCombe PA, Stenager E. Female infertility and multiple sclerosis: is this an issue? Mult Scler. 2015;21(1):5–7. https://doi.org/10.1177/1352458514549406.

    Article  PubMed  Google Scholar 

  26. Krysko KM, Graves JS, Dobson R, Altintas A, Amato MP, Bernard J, et al. Sex effects across the lifespan in women with multiple sclerosis. Ther Adv Neurol Disord. 2020;1(13):1756286420936166. https://doi.org/10.1177/1756286420936166.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are grateful to all participants for their willingness to participate in this study.

Funding

There is no source of funding for the research.

Author information

Authors and Affiliations

Authors

Contributions

MAZ, GR, SA, SAS, MIH, EM, IF & LE carried out the work. MAZ, GR & MIH designed the protocol. SA, SAS, EM & LE shared collected scientific data. SA, GR & MIH was responsible for writing the initial draft of the manuscript. SA, EM, IF & LE did the statistical analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mohamed I. Hegazy.

Ethics declarations

Ethics approval and consent to participate

The authors obtained permission to conduct this study that was approved by the Institutional Review Board (IRB), Faculty of Medicine—Cairo University (MD-104-2021). All participants signed an informed consent. The procedures followed were in accordance with our protocol. We recruited 60 controls and 100 patients from Kasr Al Ainy Multiple Sclerosis Clinic.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zaki, M.A., Ramzy, G., Ali, S. et al. Multiple sclerosis and fecundity: a study of anti-mullerian hormone level in Egyptian patients. Egypt J Neurol Psychiatry Neurosurg 59, 141 (2023). https://doi.org/10.1186/s41983-023-00748-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41983-023-00748-x

Keywords